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Local Marine Geoid Variations and Jason-2 Bias Determination using the Gavdos Permanent Cal/Val Facility

S. P. Mertikas, A. Daskalakis, I. N. Tziavos, Ole Baltazar Andersen, G. Vergos, V. Zervakis, L. Ouwehand

    Research output: Chapter in Book/Report/Conference proceedingConference abstract in proceedingsResearchpeer-review

    Abstract

    This work outlines how changes in steep bathymetry (from 200 m to 3500 m depth over a distance of 10 km) are reflected on the determined sea surface anomalies at the Gavdos site used for satellite altimeter calibration. After almost 4 years of Jason-2 calibration activities, it has been observed that in some calibrating regions, south of Gavdos Cal/Val, and along the Passes No. 018 and No. 109, certain features in the produced bias showed a permanent characteristic that required further explanation as to its causes. Some of these features seem to be related to the general oceanographic circulation, but others are related to under-sampling of the Earth's gravity field due to the resolution of the geoid model. New reference surfaces for calibration have thus emerged. Finally, new updated values for the Jason-2 altimeter bias have been determined as 191.81 ± 2.80 mm with the geoid model and as 181.51 ± 2.73 mm when using the altimetric Mean Sea Surface model.
    Original languageEnglish
    Title of host publication20 Years of Progress in Radar Altimetry symposium : Abstract book
    Place of PublicationItaly
    PublisherEuropean Space Agency
    Publication date2012
    Publication statusPublished - 2012
    Event20 years of Progress in Radar Altimetry - Venice-Lido, Italy
    Duration: 24 Sept 201229 Sept 2012
    http://www.altimetry2012.org/

    Conference

    Conference20 years of Progress in Radar Altimetry
    Country/TerritoryItaly
    CityVenice-Lido
    Period24/09/201229/09/2012
    Internet address

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 14 - Life Below Water
      SDG 14 Life Below Water

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